Senior Computer Scientist - SRE

Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

System Architecture & Technical Strategy

• Define and drive the long-term reliability and scalability strategy for the Adobe Pass platform, aligning with product and business goals.

• Architect large-scale, distributed, and multi-region systems designed for resiliency, observability, and self-healing.

• Anticipate systemic risks and design proactive mitigation strategies - ensuring zero single points of failure across critical services.

• Partner with software architecture and infrastructure teams to evolve the platform toward greater reliability, efficiency, and cost optimization.

Automation, Observability & Reliability Engineering

• Build and champion advanced automation frameworks that enable zero-touch operations across deployment, recovery, and scaling workflows.

• Introduce AI/ML-based predictive monitoring and anomaly detection systems to anticipate failures before they impact users.

• Lead organization-wide reliability initiatives - such as chaos engineering, error budgets, and SLO adoption - driving measurable reliability improvements.

• Continuously refine observability architecture (metrics, traces, logs) to ensure comprehensive, actionable insights into production health.

Incident Response & Operational Excellence

• Serve as a technical authority during high-impact incidents, guiding cross-functional teams through real-time mitigation and long-term prevention.

• Establish and enforce best-in-class incident management frameworks, improving MTTR, MTBF, and reducing incident recurrence rates.

• Lead blameless postmortems and translate findings into actionable reliability roadmaps.

• Drive reliability reviews and operational readiness assessments for all major product launches.

Performance, Scalability & Cost Efficiency

• Lead large-scale performance tuning and capacity engineering efforts, ensuring optimal resource utilization and cost efficiency across environments.

• Identify architectural bottlenecks, drive performance benchmarking, and influence platform evolution for better scalability and elasticity.

• Partner with FinOps and CloudOps to optimize spend while maintaining reliability SLAs and SLOs.

Cross-Team Leadership & Mentorship

• Mentor and coach SREs and software engineers, cultivating deep reliability-first thinking across teams.

• Serve as a thought leader in reliability engineering - driving best practices, evangelizing automation-first culture, and influencing technical standards across multiple teams.

• Collaborate with engineering leaders, PMs, and operations to align priorities, set strategic goals, and deliver on high-impact reliability initiatives.

• Lead technical deep dives and design reviews, ensuring all systems are built to scale securely and reliably.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• 12+ years of experience in site reliability, production engineering, or large-scale distributed system operations.

• Proven track record of designing and managing highly available, globally distributed systems in cloud-native environments (AWS, Azure, GCP).

• Expert-level proficiency in one or more programming/scripting languages (Python, Go, Java, Bash) for automation and tooling.

• Deep understanding of Kubernetes, microservices, and service mesh architectures.

• Advanced experience with Infrastructure as Code (Terraform, CloudFormation) and CI/CD automation frameworks.

• Mastery in observability and monitoring stacks (Prometheus, Grafana, Datadog, OpenTelemetry).

• Strong expertise in networking, storage, and distributed databases (both SQL and NoSQL).

• Demonstrated ability to influence architectural decisions and drive reliability strategy across organizations.

• Exceptional communication, leadership, and stakeholder management skills.

Preferred Qualifications

• Experience designing reliability frameworks or SRE platforms at scale (error budgets, chaos engineering, reliability reviews).

• Prior experience in high-traffic or latency-sensitive systems (media streaming, advertising, or real-time platforms).

• Familiarity with big data ecosystems (Kafka, Spark, Hadoop) and large-scale data ingestion pipelines.

• Hands-on experience with security, compliance, and governance in production environments (SOC2, GDPR, ISO27001).

• Cloud or Kubernetes certifications (AWS Solutions Architect Professional, CKA/CKAD, GCP Professional Cloud Architect).

• Published contributions or conference talks on reliability, automation, or distributed systems.